Literature DB >> 14561341

Simple and complex models for studying muscle function in walking.

Marcus G Pandy1.   

Abstract

While simple models can be helpful in identifying basic features of muscle function, more complex models are needed to discern the functional roles of specific muscles in movement. In this paper, two very different models of walking, one simple and one complex, are used to study how muscle forces, gravitational forces and centrifugal forces (i.e. forces arising from motion of the joints) combine to produce the pattern of force exerted on the ground. Both the simple model and the complex one predict that muscles contribute significantly to the ground force pattern generated in walking; indeed, both models show that muscle action is responsible for the appearance of the two peaks in the vertical force. The simple model, an inverted double pendulum, suggests further that the first and second peaks are due to net extensor muscle moments exerted about the knee and ankle, respectively. Analyses based on a much more complex, muscle-actuated simulation of walking are in general agreement with these results; however, the more detailed model also reveals that both the hip extensor and hip abductor muscles contribute significantly to vertical motion of the centre of mass, and therefore to the appearance of the first peak in the vertical ground force, in early single-leg stance. This discrepancy in the model predictions is most probably explained by the difference in model complexity. First, movements of the upper body in the sagittal plane are not represented properly in the double-pendulum model, which may explain the anomalous result obtained for the contribution of a hip-extensor torque to the vertical ground force. Second, the double-pendulum model incorporates only three of the six major elements of walking, whereas the complex model is fully 3D and incorporates all six gait determinants. In particular, pelvic list occurs primarily in the frontal plane, so there is the potential for this mechanism to contribute significantly to the vertical ground force, especially during early single-leg stance when the hip abductors are activated with considerable force.

Entities:  

Mesh:

Year:  2003        PMID: 14561341      PMCID: PMC1693253          DOI: 10.1098/rstb.2003.1338

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  27 in total

1.  Understanding muscle coordination of the human leg with dynamical simulations.

Authors:  Felix E Zajac
Journal:  J Biomech       Date:  2002-08       Impact factor: 2.712

2.  A parameter optimization approach for the optimal control of large-scale musculoskeletal systems.

Authors:  M G Pandy; F C Anderson; D G Hull
Journal:  J Biomech Eng       Date:  1992-11       Impact factor: 2.097

3.  Restoring unassisted natural gait to paraplegics via functional neuromuscular stimulation: a computer simulation study.

Authors:  G T Yamaguchi; F E Zajac
Journal:  IEEE Trans Biomed Eng       Date:  1990-09       Impact factor: 4.538

4.  An evaluation of the kinematics of gait by minimum energy.

Authors:  R Beckett; K Chang
Journal:  J Biomech       Date:  1968-07       Impact factor: 2.712

5.  The mechanics of muscle function in locomotion.

Authors:  J B Morrison
Journal:  J Biomech       Date:  1970-07       Impact factor: 2.712

6.  Application of high-performance computing to numerical simulation of human movement.

Authors:  F C Anderson; J M Ziegler; M G Pandy; R T Whalen
Journal:  J Biomech Eng       Date:  1995-02       Impact factor: 2.097

7.  Simulation of human gait with the aid of a simple mechanical model.

Authors:  S Siegler; R Seliktar; W Hyman
Journal:  J Biomech       Date:  1982       Impact factor: 2.712

8.  Analysis and synthesis of human swing leg motion during gait and its clinical applications.

Authors:  D Mena; J M Mansour; S R Simon
Journal:  J Biomech       Date:  1981       Impact factor: 2.712

9.  A mathematical model for the dynamics of human locomotion.

Authors:  S Onyshko; D A Winter
Journal:  J Biomech       Date:  1980       Impact factor: 2.712

10.  Determinants of the center of mass trajectory in human walking and running.

Authors:  C R Lee; C T Farley
Journal:  J Exp Biol       Date:  1998-11       Impact factor: 3.312

View more
  8 in total

1.  Compliant leg behaviour explains basic dynamics of walking and running.

Authors:  Hartmut Geyer; Andre Seyfarth; Reinhard Blickhan
Journal:  Proc Biol Sci       Date:  2006-11-22       Impact factor: 5.349

2.  On the inference of function from structure using biomechanical modelling and simulation of extinct organisms.

Authors:  John R Hutchinson
Journal:  Biol Lett       Date:  2011-06-10       Impact factor: 3.703

3.  All common bipedal gaits emerge from a single passive model.

Authors:  Zhenyu Gan; Yevgeniy Yesilevskiy; Petr Zaytsev; C David Remy
Journal:  J R Soc Interface       Date:  2018-09-26       Impact factor: 4.118

4.  A simple extension of inverted pendulum template to explain features of slow walking.

Authors:  Tirthabir Biswas; Suhas Rao; Vikas Bhandawat
Journal:  J Theor Biol       Date:  2018-08-20       Impact factor: 2.691

5.  Passive Dynamics Explain Quadrupedal Walking, Trotting, and Tölting.

Authors:  Zhenyu Gan; Thomas Wiestner; Michael A Weishaupt; Nina M Waldern; C David Remy
Journal:  J Comput Nonlinear Dyn       Date:  2015-08-26

6.  Assessing Neurokinematic and Neuromuscular Connectivity During Walking Using Mobile Brain-Body Imaging.

Authors:  Mingqi Zhao; Gaia Bonassi; Jessica Samogin; Gaia Amaranta Taberna; Camillo Porcaro; Elisa Pelosin; Laura Avanzino; Dante Mantini
Journal:  Front Neurosci       Date:  2022-06-03       Impact factor: 5.152

7.  Percentage Contribution of Lower Limb Moments to Vertical Ground Reaction Force in Normal Gait.

Authors:  Salam M Elhafez; Ahmed A Ashour; Naglaa M Elhafez; Ghada M Elhafez; Azza M Abdelmohsen
Journal:  J Chiropr Med       Date:  2019-06-26

8.  Functional Design in Rehabilitation: Modular Mechanisms for Ankle Complex.

Authors:  Francesco Aggogeri; Nicola Pellegrini; Riccardo Adamini
Journal:  Appl Bionics Biomech       Date:  2016-07-21       Impact factor: 1.781

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.